Bias Correction for a Generalized Log-Gamma Regression Model
From MaRDI portal
Publication:3756343
DOI10.2307/1269773zbMath0619.62062OpenAlexW2091198571MaRDI QIDQ3756343
Saad Taha Bakir, David H. Young
Publication date: 1987
Full work available at URL: https://doi.org/10.2307/1269773
confidence intervalsmaximum likelihood estimatorsmultiple linear regressionscale parametersmall samplesgeneralized log-gamma distributionbias-corrected estimatornormal errornegative biasBias approximationsApproximations to the percentilesimproved mean squared error propertieslog-gamma regression modelType I extreme-value error models
Related Items (25)
on the second-order bias of parameter estimates in nonlinear regression models with studentterrors ⋮ Interval Estimation of Parameters of Log-Gamma Distribution Based on Progressively Censored Data ⋮ Bias of maximum likelihood estimators of the response standard deviation in regression ⋮ Bias corrected estimates in multivariate student t regression models ⋮ A third-order bias corrected estimate in generalized linear models ⋮ Bias correction for a class of multivariate nonlinear regression models ⋮ Bias and skewness in a general extreme-value regression model ⋮ Nearly unbiased estimation in a biparametric exponential family ⋮ A Poisson mixed model with nonnormal random effect distribution ⋮ Bias-corrected maximum likelihood estimation for the beta distribution ⋮ Bias correction and improved residuals for non-exponential family nonlinear models ⋮ Corrected maximum-likelihood estimation in a class of symmetric nonlinear regression models ⋮ Improving estimation in speckled imagery ⋮ Models and inference for corrosion pit depth data ⋮ Bias correction in the cox regression model ⋮ Corrected estimates for Studenttregression models with unknown degrees of freedom ⋮ Improved point and interval estimation for a beta regression model ⋮ Estimation of the parameters of log-gamma distribution using order statistics ⋮ Improved maximum-likelihood estimation in a regression model with general parametrization ⋮ Sample Size Corrections for the Maximum Partial Likelihood Estimator ⋮ Using Maple and Mathematica to derive bias corrections for two parameter distributions ⋮ Robust estimation for linear regression with asymmetric errors ⋮ Bias evaluation in the proportional hazards model ⋮ Inference for Log-Gamma Distribution Based on Progressively Type-II Censored Data ⋮ Bias correction for exponential family nonlinear modles
This page was built for publication: Bias Correction for a Generalized Log-Gamma Regression Model
